Audio Classification
Transformers
PyTorch
TensorBoard
Allar
wav2vec2
fleurs-lang_id
google/xtreme_s
Generated from Trainer
Instructions to use anton-l/xtreme_s_xlsr_300m_fleurs_langid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/xtreme_s_xlsr_300m_fleurs_langid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/xtreme_s_xlsr_300m_fleurs_langid")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/xtreme_s_xlsr_300m_fleurs_langid") model = AutoModelForAudioClassification.from_pretrained("anton-l/xtreme_s_xlsr_300m_fleurs_langid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4158454be96bb762f1cf42a1d3481c4eaf889ed03feb45eb98cfe4c5e1bbcecf
- Size of remote file:
- 632 MB
- SHA256:
- 99336c858dfd8285c2f2c2d77a5ceff4d9f366a8ecb36ed5306946926dda1332
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